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MINI REVIEW article

Front. Hum. Dyn.

Sec. Digital Impacts

This article is part of the Research TopicEthical Issues, Challenges and Solutions in Metaverse and Web3View all articles

AI Smart Glasses, Ambient Computing, and the Public Sphere: A Mini Review of Media Governance Challenges

Provisionally accepted
  • 1University of Al Dhaid, United Arab Emirates, Sharjah, United Arab Emirates
  • 2Umm Al Quwain University, Umm Al Quwain, United Arab Emirates
  • 3Al Qasimia University, Sharjah, United Arab Emirates

The final, formatted version of the article will be published soon.

AI-powered smart glasses are increasingly positioned as central interfaces within the paradigm of ambient computing, signaling a transition from smartphone-centric interaction toward continuous, context-aware mediation embedded in everyday environments. Drawing on peer-reviewed research published between 2022 and 2025, alongside selected regulatory, market, and technical sources, this article examines how AI smart glasses reconfigure visibility, datafication, and communicative power in public and semi-public spaces. Grounded in critical media theory—including remediation, the attention economy, surveillance capitalism, data colonialism, and critical algorithm studies—the review conceptualizes smart glasses as ambient media infrastructures rather than neutral consumer devices. The analysis demonstrates that these technologies intensify long-standing media governance challenges by relocating mediation from screens to first-person perceptual layers, raising urgent questions about privacy, consent, algorithmic bias, data sovereignty, and democratic participation. By situating AI smart glasses within debates on platform power and the public sphere, the article argues for proactive, participatory, and infrastructure-level governance frameworks capable of addressing the societal implications of ambient AI-mediated perception.

Keywords: Algorithmic bias, Ambient computing, Media governance, Public sphere, Smart glasses, Surveillance capitalism

Received: 05 Sep 2025; Accepted: 10 Feb 2026.

Copyright: © 2026 Setoutah, Mohamed, Ishag, Mohamed and Mohamed. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Elsir Ali Saad Mohamed

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